We can import the datasets using the read_csv function provided by pandas:

dframe = pd.read_csv('bitcoin.csv')

Figure 12.2 shows how the dataset looks. We are using the same dataset. Since the timestamps are encoded in UNIX format, we are going to recode them:

dframe['date'] = pd.to_datetime(dframe['Timestamp'],unit='s').dt.date
group = dframe.groupby('date')
Real_Price = group['Weighted_Price'].mean()

The main reason we are transforming the timestamp is so that we can sort the dataset by date instead of by minutes.